Overview

Dataset statistics

Number of variables17
Number of observations341
Missing cells1108
Missing cells (%)19.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.1 KiB
Average record size in memory168.3 B

Variable types

Numeric5
Text7
Categorical1
DateTime3
Unsupported1

Alerts

type is highly imbalanced (92.4%)Imbalance
number has 5 (1.5%) missing valuesMissing
airtime has 271 (79.5%) missing valuesMissing
runtime has 21 (6.2%) missing valuesMissing
rating_average has 341 (100.0%) missing valuesMissing
medium has 158 (46.3%) missing valuesMissing
original has 158 (46.3%) missing valuesMissing
summary has 154 (45.2%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-06 16:33:17.470548
Analysis finished2023-08-06 16:33:21.247995
Duration3.78 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2441969.5
Minimum2323161
Maximum2603381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:21.325655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2323161
5-th percentile2403498
Q12425132
median2440091
Q32446589
95-th percentile2503430
Maximum2603381
Range280220
Interquartile range (IQR)21457

Descriptive statistics

Standard deviation34700.838
Coefficient of variation (CV)0.014210185
Kurtosis6.0519745
Mean2441969.5
Median Absolute Deviation (MAD)11004
Skewness1.5633572
Sum8.3271161 × 108
Variance1.2041481 × 109
MonotonicityNot monotonic
2023-08-06T11:33:21.481671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2450906 1
 
0.3%
2440351 1
 
0.3%
2498152 1
 
0.3%
2498151 1
 
0.3%
2442183 1
 
0.3%
2404585 1
 
0.3%
2441863 1
 
0.3%
2406245 1
 
0.3%
2403834 1
 
0.3%
2406239 1
 
0.3%
Other values (331) 331
97.1%
ValueCountFrequency (%)
2323161 1
0.3%
2327473 1
0.3%
2330726 1
0.3%
2372672 1
0.3%
2372683 1
0.3%
2374215 1
0.3%
2380798 1
0.3%
2389679 1
0.3%
2393400 1
0.3%
2393535 1
0.3%
ValueCountFrequency (%)
2603381 1
0.3%
2582367 1
0.3%
2577818 1
0.3%
2577817 1
0.3%
2574162 1
0.3%
2573107 1
0.3%
2572524 1
0.3%
2568631 1
0.3%
2568630 1
0.3%
2550682 1
0.3%

id_embedded
Real number (ℝ)

Distinct195
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56116.891
Minimum81
Maximum69389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:21.631412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile24727
Q153278
median62573
Q365303
95-th percentile67152
Maximum69389
Range69308
Interquartile range (IQR)12025

Descriptive statistics

Standard deviation14409.518
Coefficient of variation (CV)0.25677685
Kurtosis3.4043393
Mean56116.891
Median Absolute Deviation (MAD)3165
Skewness-1.9406153
Sum19135860
Variance2.0763422 × 108
MonotonicityNot monotonic
2023-08-06T11:33:21.793313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54017 9
 
2.6%
41101 9
 
2.6%
54440 8
 
2.3%
64860 8
 
2.3%
65687 8
 
2.3%
61880 7
 
2.1%
65365 6
 
1.8%
60736 6
 
1.8%
65188 6
 
1.8%
64487 6
 
1.8%
Other values (185) 268
78.6%
ValueCountFrequency (%)
81 1
0.3%
2643 1
0.3%
4175 2
0.6%
6220 1
0.3%
6441 1
0.3%
7847 1
0.3%
10892 2
0.6%
12060 1
0.3%
13215 1
0.3%
13818 2
0.6%
ValueCountFrequency (%)
69389 1
0.3%
69351 1
0.3%
69238 2
0.6%
68784 1
0.3%
68575 1
0.3%
68144 2
0.6%
67998 1
0.3%
67907 1
0.3%
67883 2
0.6%
67694 1
0.3%

url
Text

UNIQUE 

Distinct341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:22.025996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length146
Median length108
Mean length78.891496
Min length57

Characters and Unicode

Total characters26902
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87
2nd rowhttps://www.tvmaze.com/episodes/2450907/hocu-vse-znat-2x88-seria-88
3rd rowhttps://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15
4th rowhttps://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16
5th rowhttps://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87 1
 
0.3%
https://www.tvmaze.com/episodes/2433583/yinhe-zhi-xin-1x07-episode-7 1
 
0.3%
https://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15 1
 
0.3%
https://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16 1
 
0.3%
https://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria 1
 
0.3%
https://www.tvmaze.com/episodes/2323161/zamerzsie-1x01-seria-1 1
 
0.3%
https://www.tvmaze.com/episodes/2433627/zamerzsie-1x02-seria-2 1
 
0.3%
https://www.tvmaze.com/episodes/2433628/zamerzsie-1x03-seria-3 1
 
0.3%
https://www.tvmaze.com/episodes/2433629/zamerzsie-1x04-seria-4 1
 
0.3%
https://www.tvmaze.com/episodes/2433630/zamerzsie-1x05-seria-5 1
 
0.3%
Other values (331) 331
97.1%
2023-08-06T11:33:22.461638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 2202
 
8.2%
- 2009
 
7.5%
s 1713
 
6.4%
/ 1705
 
6.3%
t 1618
 
6.0%
o 1465
 
5.4%
a 1190
 
4.4%
w 1156
 
4.3%
i 1053
 
3.9%
p 974
 
3.6%
Other values (30) 11817
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18455
68.6%
Decimal Number 3710
 
13.8%
Other Punctuation 2728
 
10.1%
Dash Punctuation 2009
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2202
11.9%
s 1713
 
9.3%
t 1618
 
8.8%
o 1465
 
7.9%
a 1190
 
6.4%
w 1156
 
6.3%
i 1053
 
5.7%
p 974
 
5.3%
m 935
 
5.1%
h 699
 
3.8%
Other values (16) 5450
29.5%
Decimal Number
ValueCountFrequency (%)
2 739
19.9%
4 588
15.8%
1 566
15.3%
0 477
12.9%
3 344
9.3%
7 216
 
5.8%
5 212
 
5.7%
6 195
 
5.3%
8 192
 
5.2%
9 181
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 1705
62.5%
. 682
 
25.0%
: 341
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 2009
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 18455
68.6%
Common 8447
31.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2202
11.9%
s 1713
 
9.3%
t 1618
 
8.8%
o 1465
 
7.9%
a 1190
 
6.4%
w 1156
 
6.3%
i 1053
 
5.7%
p 974
 
5.3%
m 935
 
5.1%
h 699
 
3.8%
Other values (16) 5450
29.5%
Common
ValueCountFrequency (%)
- 2009
23.8%
/ 1705
20.2%
2 739
 
8.7%
. 682
 
8.1%
4 588
 
7.0%
1 566
 
6.7%
0 477
 
5.6%
3 344
 
4.1%
: 341
 
4.0%
7 216
 
2.6%
Other values (4) 780
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 2202
 
8.2%
- 2009
 
7.5%
s 1713
 
6.4%
/ 1705
 
6.3%
t 1618
 
6.0%
o 1465
 
5.4%
a 1190
 
4.4%
w 1156
 
4.3%
i 1053
 
3.9%
p 974
 
3.6%
Other values (30) 11817
43.9%

name
Text

Distinct304
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:22.815160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length53
Mean length16.26393
Min length3

Characters and Unicode

Total characters5546
Distinct characters163
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)83.3%

Sample

1st rowСерия 87
2nd rowСерия 88
3rd rowСерия 15
4th rowСерия 16
5th row8 серия
ValueCountFrequency (%)
episode 60
 
5.9%
the 38
 
3.7%
серия 28
 
2.7%
a 13
 
1.3%
1 12
 
1.2%
of 12
 
1.2%
6 11
 
1.1%
2 10
 
1.0%
9
 
0.9%
on 9
 
0.9%
Other values (645) 820
80.2%
2023-08-06T11:33:23.335682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
683
 
12.3%
e 452
 
8.2%
o 321
 
5.8%
a 270
 
4.9%
i 264
 
4.8%
s 252
 
4.5%
n 222
 
4.0%
t 205
 
3.7%
r 185
 
3.3%
d 161
 
2.9%
Other values (153) 2531
45.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3686
66.5%
Uppercase Letter 805
 
14.5%
Space Separator 683
 
12.3%
Decimal Number 216
 
3.9%
Other Punctuation 99
 
1.8%
Other Letter 36
 
0.6%
Dash Punctuation 8
 
0.1%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Other Symbol 2
 
< 0.1%
Other values (4) 5
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 452
 
12.3%
o 321
 
8.7%
a 270
 
7.3%
i 264
 
7.2%
s 252
 
6.8%
n 222
 
6.0%
t 205
 
5.6%
r 185
 
5.0%
d 161
 
4.4%
l 142
 
3.9%
Other values (58) 1212
32.9%
Uppercase Letter
ValueCountFrequency (%)
E 88
 
10.9%
T 70
 
8.7%
S 50
 
6.2%
A 40
 
5.0%
B 38
 
4.7%
D 37
 
4.6%
C 36
 
4.5%
P 34
 
4.2%
M 33
 
4.1%
W 33
 
4.1%
Other values (41) 346
43.0%
Other Punctuation
ValueCountFrequency (%)
. 29
29.3%
, 23
23.2%
' 15
15.2%
? 8
 
8.1%
! 8
 
8.1%
: 5
 
5.1%
" 4
 
4.0%
& 3
 
3.0%
/ 2
 
2.0%
¿ 1
 
1.0%
Other Letter
ValueCountFrequency (%)
ل 9
25.0%
ا 8
22.2%
ة 4
11.1%
ق 3
 
8.3%
ح 3
 
8.3%
م 2
 
5.6%
ي 2
 
5.6%
ن 2
 
5.6%
أ 1
 
2.8%
ت 1
 
2.8%
Decimal Number
ValueCountFrequency (%)
1 49
22.7%
2 37
17.1%
3 28
13.0%
4 22
10.2%
8 17
 
7.9%
5 16
 
7.4%
6 16
 
7.4%
0 15
 
6.9%
7 10
 
4.6%
9 6
 
2.8%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Final Punctuation
ValueCountFrequency (%)
» 1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
683
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Currency Symbol
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3998
72.1%
Common 1019
 
18.4%
Cyrillic 493
 
8.9%
Arabic 36
 
0.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 452
 
11.3%
o 321
 
8.0%
a 270
 
6.8%
i 264
 
6.6%
s 252
 
6.3%
n 222
 
5.6%
t 205
 
5.1%
r 185
 
4.6%
d 161
 
4.0%
l 142
 
3.6%
Other values (57) 1524
38.1%
Cyrillic
ValueCountFrequency (%)
и 53
 
10.8%
е 48
 
9.7%
р 43
 
8.7%
о 34
 
6.9%
С 33
 
6.7%
я 32
 
6.5%
а 26
 
5.3%
с 20
 
4.1%
в 18
 
3.7%
н 18
 
3.7%
Other values (42) 168
34.1%
Common
ValueCountFrequency (%)
683
67.0%
1 49
 
4.8%
2 37
 
3.6%
. 29
 
2.8%
3 28
 
2.7%
, 23
 
2.3%
4 22
 
2.2%
8 17
 
1.7%
5 16
 
1.6%
6 16
 
1.6%
Other values (23) 99
 
9.7%
Arabic
ValueCountFrequency (%)
ل 9
25.0%
ا 8
22.2%
ة 4
11.1%
ق 3
 
8.3%
ح 3
 
8.3%
م 2
 
5.6%
ي 2
 
5.6%
ن 2
 
5.6%
أ 1
 
2.8%
ت 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4974
89.7%
Cyrillic 493
 
8.9%
None 38
 
0.7%
Arabic 36
 
0.6%
Letterlike Symbols 2
 
< 0.1%
Punctuation 2
 
< 0.1%
Currency Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
683
 
13.7%
e 452
 
9.1%
o 321
 
6.5%
a 270
 
5.4%
i 264
 
5.3%
s 252
 
5.1%
n 222
 
4.5%
t 205
 
4.1%
r 185
 
3.7%
d 161
 
3.2%
Other values (68) 1959
39.4%
Cyrillic
ValueCountFrequency (%)
и 53
 
10.8%
е 48
 
9.7%
р 43
 
8.7%
о 34
 
6.9%
С 33
 
6.7%
я 32
 
6.5%
а 26
 
5.3%
с 20
 
4.1%
в 18
 
3.7%
н 18
 
3.7%
Other values (42) 168
34.1%
Arabic
ValueCountFrequency (%)
ل 9
25.0%
ا 8
22.2%
ة 4
11.1%
ق 3
 
8.3%
ح 3
 
8.3%
م 2
 
5.6%
ي 2
 
5.6%
ن 2
 
5.6%
أ 1
 
2.8%
ت 1
 
2.8%
None
ValueCountFrequency (%)
ö 7
18.4%
ü 6
15.8%
ä 3
 
7.9%
ş 2
 
5.3%
á 2
 
5.3%
ó 2
 
5.3%
ı 2
 
5.3%
ã 2
 
5.3%
ú 2
 
5.3%
í 2
 
5.3%
Other values (8) 8
21.1%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

season
Real number (ℝ)

Distinct25
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.504399
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:23.492426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile17
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation265.89536
Coefficient of variation (CV)6.9055841
Kurtosis52.592073
Mean38.504399
Median Absolute Deviation (MAD)0
Skewness7.3661688
Sum13130
Variance70700.345
MonotonicityNot monotonic
2023-08-06T11:33:23.631142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 206
60.4%
2 56
 
16.4%
3 21
 
6.2%
4 11
 
3.2%
5 7
 
2.1%
2022 6
 
1.8%
13 4
 
1.2%
7 4
 
1.2%
6 3
 
0.9%
11 2
 
0.6%
Other values (15) 21
 
6.2%
ValueCountFrequency (%)
1 206
60.4%
2 56
 
16.4%
3 21
 
6.2%
4 11
 
3.2%
5 7
 
2.1%
6 3
 
0.9%
7 4
 
1.2%
8 2
 
0.6%
9 2
 
0.6%
10 1
 
0.3%
ValueCountFrequency (%)
2022 6
1.8%
47 1
 
0.3%
39 1
 
0.3%
34 1
 
0.3%
28 2
 
0.6%
23 2
 
0.6%
22 2
 
0.6%
19 1
 
0.3%
18 1
 
0.3%
17 1
 
0.3%

number
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)19.6%
Missing5
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean18.083333
Minimum1
Maximum265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:23.895863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q313
95-th percentile88.25
Maximum265
Range264
Interquartile range (IQR)10

Descriptive statistics

Standard deviation37.431078
Coefficient of variation (CV)2.0699213
Kurtosis19.527081
Mean18.083333
Median Absolute Deviation (MAD)4
Skewness4.140977
Sum6076
Variance1401.0856
MonotonicityNot monotonic
2023-08-06T11:33:24.055887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 37
 
10.9%
2 32
 
9.4%
3 30
 
8.8%
4 30
 
8.8%
6 29
 
8.5%
5 24
 
7.0%
8 22
 
6.5%
7 19
 
5.6%
10 9
 
2.6%
14 8
 
2.3%
Other values (56) 96
28.2%
ValueCountFrequency (%)
1 37
10.9%
2 32
9.4%
3 30
8.8%
4 30
8.8%
5 24
7.0%
6 29
8.5%
7 19
5.6%
8 22
6.5%
9 7
 
2.1%
10 9
 
2.6%
ValueCountFrequency (%)
265 1
0.3%
241 1
0.3%
240 1
0.3%
238 1
0.3%
227 1
0.3%
152 1
0.3%
150 1
0.3%
138 1
0.3%
137 1
0.3%
118 1
0.3%

type
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
regular
336 
significant_special
 
4
insignificant_special
 
1

Length

Max length21
Median length7
Mean length7.1818182
Min length7

Characters and Unicode

Total characters2449
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 336
98.5%
significant_special 4
 
1.2%
insignificant_special 1
 
0.3%

Length

2023-08-06T11:33:24.205274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-06T11:33:24.318400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 336
98.5%
significant_special 4
 
1.2%
insignificant_special 1
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r 672
27.4%
a 346
14.1%
e 341
13.9%
g 341
13.9%
l 341
13.9%
u 336
13.7%
i 21
 
0.9%
n 11
 
0.4%
s 10
 
0.4%
c 10
 
0.4%
Other values (4) 20
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2444
99.8%
Connector Punctuation 5
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 672
27.5%
a 346
14.2%
e 341
14.0%
g 341
14.0%
l 341
14.0%
u 336
13.7%
i 21
 
0.9%
n 11
 
0.5%
s 10
 
0.4%
c 10
 
0.4%
Other values (3) 15
 
0.6%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2444
99.8%
Common 5
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 672
27.5%
a 346
14.2%
e 341
14.0%
g 341
14.0%
l 341
14.0%
u 336
13.7%
i 21
 
0.9%
n 11
 
0.5%
s 10
 
0.4%
c 10
 
0.4%
Other values (3) 15
 
0.6%
Common
ValueCountFrequency (%)
_ 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 672
27.4%
a 346
14.1%
e 341
13.9%
g 341
13.9%
l 341
13.9%
u 336
13.7%
i 21
 
0.9%
n 11
 
0.4%
s 10
 
0.4%
c 10
 
0.4%
Other values (4) 20
 
0.8%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum2022-12-01 00:00:00
Maximum2022-12-02 00:00:00
2023-08-06T11:33:24.415912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:24.523803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

airtime
Date

MISSING 

Distinct21
Distinct (%)30.0%
Missing271
Missing (%)79.5%
Memory size13.4 KiB
Minimum2023-08-06 00:00:00
Maximum2023-08-06 22:00:00
2023-08-06T11:33:24.636205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:24.778240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
Distinct51
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum2022-12-01 00:00:00+00:00
Maximum2022-12-03 06:00:00+00:00
2023-08-06T11:33:24.931523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:25.094948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

runtime
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)20.6%
Missing21
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean36.728125
Minimum1
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:25.254570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q124
median32
Q348
95-th percentile61
Maximum240
Range239
Interquartile range (IQR)24

Descriptive statistics

Standard deviation24.272961
Coefficient of variation (CV)0.66088212
Kurtosis22.740582
Mean36.728125
Median Absolute Deviation (MAD)12
Skewness3.5428116
Sum11753
Variance589.17664
MonotonicityNot monotonic
2023-08-06T11:33:25.414443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 20
 
5.9%
25 20
 
5.9%
44 14
 
4.1%
50 14
 
4.1%
10 13
 
3.8%
24 13
 
3.8%
45 12
 
3.5%
15 10
 
2.9%
43 9
 
2.6%
26 9
 
2.6%
Other values (56) 186
54.5%
(Missing) 21
 
6.2%
ValueCountFrequency (%)
1 1
 
0.3%
2 2
 
0.6%
4 1
 
0.3%
5 2
 
0.6%
7 6
1.8%
8 2
 
0.6%
10 13
3.8%
11 2
 
0.6%
12 3
 
0.9%
13 1
 
0.3%
ValueCountFrequency (%)
240 1
0.3%
180 2
0.6%
138 1
0.3%
121 1
0.3%
120 1
0.3%
74 1
0.3%
73 2
0.6%
71 1
0.3%
69 2
0.6%
65 1
0.3%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing341
Missing (%)100.0%
Memory size13.4 KiB

medium
Text

MISSING 

Distinct183
Distinct (%)100.0%
Missing158
Missing (%)46.3%
Memory size13.4 KiB
2023-08-06T11:33:25.646507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters13359
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/432/1081693.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084040.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084095.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1082878.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084090.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085572.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/432/1081884.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084040.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084095.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082878.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084090.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084089.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082867.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084088.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082868.jpg 1
 
0.5%
Other values (173) 173
94.5%
2023-08-06T11:33:26.037574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1281
 
9.6%
a 1098
 
8.2%
t 915
 
6.8%
s 915
 
6.8%
m 915
 
6.8%
p 732
 
5.5%
e 732
 
5.5%
. 549
 
4.1%
c 549
 
4.1%
d 549
 
4.1%
Other values (22) 5124
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9333
69.9%
Other Punctuation 2013
 
15.1%
Decimal Number 1830
 
13.7%
Connector Punctuation 183
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 1098
11.8%
t 915
9.8%
s 915
9.8%
m 915
9.8%
p 732
 
7.8%
e 732
 
7.8%
c 549
 
5.9%
d 549
 
5.9%
i 549
 
5.9%
g 366
 
3.9%
Other values (8) 2013
21.6%
Decimal Number
ValueCountFrequency (%)
4 311
17.0%
1 278
15.2%
3 274
15.0%
8 229
12.5%
0 226
12.3%
2 130
7.1%
5 123
 
6.7%
9 110
 
6.0%
7 87
 
4.8%
6 62
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 1281
63.6%
. 549
27.3%
: 183
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9333
69.9%
Common 4026
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 1098
11.8%
t 915
9.8%
s 915
9.8%
m 915
9.8%
p 732
 
7.8%
e 732
 
7.8%
c 549
 
5.9%
d 549
 
5.9%
i 549
 
5.9%
g 366
 
3.9%
Other values (8) 2013
21.6%
Common
ValueCountFrequency (%)
/ 1281
31.8%
. 549
13.6%
4 311
 
7.7%
1 278
 
6.9%
3 274
 
6.8%
8 229
 
5.7%
0 226
 
5.6%
_ 183
 
4.5%
: 183
 
4.5%
2 130
 
3.2%
Other values (4) 382
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1281
 
9.6%
a 1098
 
8.2%
t 915
 
6.8%
s 915
 
6.8%
m 915
 
6.8%
p 732
 
5.5%
e 732
 
5.5%
. 549
 
4.1%
c 549
 
4.1%
d 549
 
4.1%
Other values (22) 5124
38.4%

original
Text

MISSING 

Distinct183
Distinct (%)100.0%
Missing158
Missing (%)46.3%
Memory size13.4 KiB
2023-08-06T11:33:26.298266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters13725
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/432/1081693.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084040.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084095.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1082878.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084090.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/434/1085572.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/432/1081884.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084040.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084095.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082878.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084090.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084089.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082867.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084088.jpg 1
 
0.5%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082868.jpg 1
 
0.5%
Other values (173) 173
94.5%
2023-08-06T11:33:26.680477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1281
 
9.3%
t 1098
 
8.0%
a 915
 
6.7%
s 732
 
5.3%
i 732
 
5.3%
o 732
 
5.3%
p 549
 
4.0%
c 549
 
4.0%
. 549
 
4.0%
g 549
 
4.0%
Other values (23) 6039
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9699
70.7%
Other Punctuation 2013
 
14.7%
Decimal Number 1830
 
13.3%
Connector Punctuation 183
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 1098
 
11.3%
a 915
 
9.4%
s 732
 
7.5%
i 732
 
7.5%
o 732
 
7.5%
p 549
 
5.7%
c 549
 
5.7%
g 549
 
5.7%
m 549
 
5.7%
e 549
 
5.7%
Other values (9) 2745
28.3%
Decimal Number
ValueCountFrequency (%)
4 311
17.0%
1 278
15.2%
3 274
15.0%
8 229
12.5%
0 226
12.3%
2 130
7.1%
5 123
 
6.7%
9 110
 
6.0%
7 87
 
4.8%
6 62
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 1281
63.6%
. 549
27.3%
: 183
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9699
70.7%
Common 4026
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 1098
 
11.3%
a 915
 
9.4%
s 732
 
7.5%
i 732
 
7.5%
o 732
 
7.5%
p 549
 
5.7%
c 549
 
5.7%
g 549
 
5.7%
m 549
 
5.7%
e 549
 
5.7%
Other values (9) 2745
28.3%
Common
ValueCountFrequency (%)
/ 1281
31.8%
. 549
13.6%
4 311
 
7.7%
1 278
 
6.9%
3 274
 
6.8%
8 229
 
5.7%
0 226
 
5.6%
: 183
 
4.5%
_ 183
 
4.5%
2 130
 
3.2%
Other values (4) 382
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1281
 
9.3%
t 1098
 
8.0%
a 915
 
6.7%
s 732
 
5.3%
i 732
 
5.3%
o 732
 
5.3%
p 549
 
4.0%
c 549
 
4.0%
. 549
 
4.0%
g 549
 
4.0%
Other values (23) 6039
44.0%

_links_self
Text

UNIQUE 

Distinct341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:26.908434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters13299
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique341 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2450906
2nd rowhttps://api.tvmaze.com/episodes/2450907
3rd rowhttps://api.tvmaze.com/episodes/2438114
4th rowhttps://api.tvmaze.com/episodes/2438115
5th rowhttps://api.tvmaze.com/episodes/2413779
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2450906 1
 
0.3%
https://api.tvmaze.com/episodes/2433583 1
 
0.3%
https://api.tvmaze.com/episodes/2438114 1
 
0.3%
https://api.tvmaze.com/episodes/2438115 1
 
0.3%
https://api.tvmaze.com/episodes/2413779 1
 
0.3%
https://api.tvmaze.com/episodes/2323161 1
 
0.3%
https://api.tvmaze.com/episodes/2433627 1
 
0.3%
https://api.tvmaze.com/episodes/2433628 1
 
0.3%
https://api.tvmaze.com/episodes/2433629 1
 
0.3%
https://api.tvmaze.com/episodes/2433630 1
 
0.3%
Other values (331) 331
97.1%
2023-08-06T11:33:27.267559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1364
 
10.3%
p 1023
 
7.7%
s 1023
 
7.7%
e 1023
 
7.7%
t 1023
 
7.7%
o 682
 
5.1%
a 682
 
5.1%
i 682
 
5.1%
. 682
 
5.1%
m 682
 
5.1%
Other values (16) 4433
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8525
64.1%
Other Punctuation 2387
 
17.9%
Decimal Number 2387
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 1023
12.0%
s 1023
12.0%
e 1023
12.0%
t 1023
12.0%
o 682
8.0%
a 682
8.0%
i 682
8.0%
m 682
8.0%
h 341
 
4.0%
d 341
 
4.0%
Other values (3) 1023
12.0%
Decimal Number
ValueCountFrequency (%)
2 548
23.0%
4 497
20.8%
3 229
9.6%
0 194
 
8.1%
1 178
 
7.5%
7 169
 
7.1%
9 155
 
6.5%
5 151
 
6.3%
6 138
 
5.8%
8 128
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 1364
57.1%
. 682
28.6%
: 341
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 8525
64.1%
Common 4774
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 1364
28.6%
. 682
14.3%
2 548
11.5%
4 497
 
10.4%
: 341
 
7.1%
3 229
 
4.8%
0 194
 
4.1%
1 178
 
3.7%
7 169
 
3.5%
9 155
 
3.2%
Other values (3) 417
 
8.7%
Latin
ValueCountFrequency (%)
p 1023
12.0%
s 1023
12.0%
e 1023
12.0%
t 1023
12.0%
o 682
8.0%
a 682
8.0%
i 682
8.0%
m 682
8.0%
h 341
 
4.0%
d 341
 
4.0%
Other values (3) 1023
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13299
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1364
 
10.3%
p 1023
 
7.7%
s 1023
 
7.7%
e 1023
 
7.7%
t 1023
 
7.7%
o 682
 
5.1%
a 682
 
5.1%
i 682
 
5.1%
. 682
 
5.1%
m 682
 
5.1%
Other values (16) 4433
33.3%
Distinct195
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-08-06T11:33:27.480749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.973607
Min length31

Characters and Unicode

Total characters11585
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)39.3%

Sample

1st rowhttps://api.tvmaze.com/shows/55724
2nd rowhttps://api.tvmaze.com/shows/55724
3rd rowhttps://api.tvmaze.com/shows/59201
4th rowhttps://api.tvmaze.com/shows/59201
5th rowhttps://api.tvmaze.com/shows/60687
ValueCountFrequency (%)
https://api.tvmaze.com/shows/54017 9
 
2.6%
https://api.tvmaze.com/shows/41101 9
 
2.6%
https://api.tvmaze.com/shows/54440 8
 
2.3%
https://api.tvmaze.com/shows/64860 8
 
2.3%
https://api.tvmaze.com/shows/65687 8
 
2.3%
https://api.tvmaze.com/shows/61880 7
 
2.1%
https://api.tvmaze.com/shows/65365 6
 
1.8%
https://api.tvmaze.com/shows/60736 6
 
1.8%
https://api.tvmaze.com/shows/65188 6
 
1.8%
https://api.tvmaze.com/shows/64487 6
 
1.8%
Other values (185) 268
78.6%
2023-08-06T11:33:27.841496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1364
 
11.8%
s 1023
 
8.8%
t 1023
 
8.8%
h 682
 
5.9%
p 682
 
5.9%
a 682
 
5.9%
o 682
 
5.9%
. 682
 
5.9%
m 682
 
5.9%
e 341
 
2.9%
Other values (16) 3742
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7502
64.8%
Other Punctuation 2387
 
20.6%
Decimal Number 1696
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 1023
13.6%
t 1023
13.6%
h 682
9.1%
p 682
9.1%
a 682
9.1%
o 682
9.1%
m 682
9.1%
e 341
 
4.5%
w 341
 
4.5%
c 341
 
4.5%
Other values (3) 1023
13.6%
Decimal Number
ValueCountFrequency (%)
6 335
19.8%
4 234
13.8%
5 229
13.5%
1 174
10.3%
8 162
9.6%
0 143
8.4%
3 114
 
6.7%
2 108
 
6.4%
7 100
 
5.9%
9 97
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 1364
57.1%
. 682
28.6%
: 341
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 7502
64.8%
Common 4083
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 1364
33.4%
. 682
16.7%
: 341
 
8.4%
6 335
 
8.2%
4 234
 
5.7%
5 229
 
5.6%
1 174
 
4.3%
8 162
 
4.0%
0 143
 
3.5%
3 114
 
2.8%
Other values (3) 305
 
7.5%
Latin
ValueCountFrequency (%)
s 1023
13.6%
t 1023
13.6%
h 682
9.1%
p 682
9.1%
a 682
9.1%
o 682
9.1%
m 682
9.1%
e 341
 
4.5%
w 341
 
4.5%
c 341
 
4.5%
Other values (3) 1023
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11585
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1364
 
11.8%
s 1023
 
8.8%
t 1023
 
8.8%
h 682
 
5.9%
p 682
 
5.9%
a 682
 
5.9%
o 682
 
5.9%
. 682
 
5.9%
m 682
 
5.9%
e 341
 
2.9%
Other values (16) 3742
32.3%

summary
Text

MISSING 

Distinct187
Distinct (%)100.0%
Missing154
Missing (%)45.2%
Memory size13.4 KiB
2023-08-06T11:33:28.164753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length512
Median length250
Mean length190.05348
Min length40

Characters and Unicode

Total characters35540
Distinct characters88
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)100.0%

Sample

1st row<p>Gordon's day goes from bad to worse when, distracted by the impulsive actions of an attractive stranger, Ashley, he accidentally hits a stray dog with his car.</p>
2nd row<p>When Ashley makes a mess in Gordon's sock drawer, she makes an impromptu trip to Costco with Colin, Megan and her mother, to buy Gordon some new furniture.</p>
3rd row<p>Gordon accidentally sends Ashley a dick pic and chases her from a garage sale to a death bed to try and delete it.</p>
4th row<p>Ash and Gordon's awkward sexual encounter causes them to drift apart.</p>
5th row<p>The Echo Park gang are impressed when Ashley takes charge during a power outage.</p>
ValueCountFrequency (%)
the 280
 
4.8%
to 215
 
3.7%
and 202
 
3.4%
a 192
 
3.3%
of 115
 
2.0%
in 112
 
1.9%
her 80
 
1.4%
for 60
 
1.0%
is 58
 
1.0%
with 58
 
1.0%
Other values (2334) 4491
76.6%
2023-08-06T11:33:28.716548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5664
15.9%
e 3268
 
9.2%
a 2352
 
6.6%
t 2246
 
6.3%
i 2022
 
5.7%
s 1977
 
5.6%
n 1976
 
5.6%
o 1871
 
5.3%
r 1660
 
4.7%
h 1353
 
3.8%
Other values (78) 11151
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 26794
75.4%
Space Separator 5677
 
16.0%
Uppercase Letter 1141
 
3.2%
Other Punctuation 1018
 
2.9%
Math Symbol 790
 
2.2%
Dash Punctuation 56
 
0.2%
Decimal Number 42
 
0.1%
Modifier Symbol 16
 
< 0.1%
Initial Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3268
12.2%
a 2352
 
8.8%
t 2246
 
8.4%
i 2022
 
7.5%
s 1977
 
7.4%
n 1976
 
7.4%
o 1871
 
7.0%
r 1660
 
6.2%
h 1353
 
5.0%
l 1102
 
4.1%
Other values (21) 6967
26.0%
Uppercase Letter
ValueCountFrequency (%)
A 120
 
10.5%
T 98
 
8.6%
C 92
 
8.1%
S 87
 
7.6%
M 74
 
6.5%
L 60
 
5.3%
D 57
 
5.0%
W 55
 
4.8%
R 47
 
4.1%
B 46
 
4.0%
Other values (16) 405
35.5%
Other Punctuation
ValueCountFrequency (%)
. 380
37.3%
, 258
25.3%
/ 201
19.7%
' 132
 
13.0%
! 13
 
1.3%
" 10
 
1.0%
? 8
 
0.8%
; 7
 
0.7%
& 5
 
0.5%
: 3
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 10
23.8%
2 9
21.4%
1 7
16.7%
9 4
 
9.5%
6 4
 
9.5%
4 3
 
7.1%
3 3
 
7.1%
5 1
 
2.4%
7 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 47
83.9%
5
 
8.9%
4
 
7.1%
Space Separator
ValueCountFrequency (%)
5664
99.8%
  13
 
0.2%
Math Symbol
ValueCountFrequency (%)
< 395
50.0%
> 395
50.0%
Modifier Symbol
ValueCountFrequency (%)
` 16
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27935
78.6%
Common 7605
 
21.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3268
11.7%
a 2352
 
8.4%
t 2246
 
8.0%
i 2022
 
7.2%
s 1977
 
7.1%
n 1976
 
7.1%
o 1871
 
6.7%
r 1660
 
5.9%
h 1353
 
4.8%
l 1102
 
3.9%
Other values (47) 8108
29.0%
Common
ValueCountFrequency (%)
5664
74.5%
< 395
 
5.2%
> 395
 
5.2%
. 380
 
5.0%
, 258
 
3.4%
/ 201
 
2.6%
' 132
 
1.7%
- 47
 
0.6%
` 16
 
0.2%
  13
 
0.2%
Other values (21) 104
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35509
99.9%
None 19
 
0.1%
Punctuation 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5664
16.0%
e 3268
 
9.2%
a 2352
 
6.6%
t 2246
 
6.3%
i 2022
 
5.7%
s 1977
 
5.6%
n 1976
 
5.6%
o 1871
 
5.3%
r 1660
 
4.7%
h 1353
 
3.8%
Other values (68) 11120
31.3%
None
ValueCountFrequency (%)
  13
68.4%
ñ 2
 
10.5%
ë 1
 
5.3%
é 1
 
5.3%
å 1
 
5.3%
æ 1
 
5.3%
Punctuation
ValueCountFrequency (%)
5
41.7%
4
33.3%
2
 
16.7%
1
 
8.3%

Interactions

2023-08-06T11:33:20.214719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:17.958781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.478798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.020559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.576611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:20.308841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.062056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.587560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.123115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.673243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:20.408365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.178530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.696613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.254337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.912033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:20.513255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.286907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.809370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.364099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:20.016351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:20.614547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.384790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:18.918536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:19.480070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:33:20.109113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-08-06T11:33:20.762864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-06T11:33:21.011435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-06T11:33:21.171762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0245090655724https://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87Серия 87287.0regular2022-12-012022-12-01T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450906https://api.tvmaze.com/shows/55724None
1245090755724https://www.tvmaze.com/episodes/2450907/hocu-vse-znat-2x88-seria-88Серия 88288.0regular2022-12-012022-12-01T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450907https://api.tvmaze.com/shows/55724None
2243811459201https://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15Серия 1525.0regular2022-12-012022-12-01T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438114https://api.tvmaze.com/shows/59201None
3243811559201https://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16Серия 1626.0regular2022-12-012022-12-01T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438115https://api.tvmaze.com/shows/59201None
4241377960687https://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria8 серия18.0regular2022-12-0112:002022-12-01T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2413779https://api.tvmaze.com/shows/60687None
5232316161880https://www.tvmaze.com/episodes/2323161/zamerzsie-1x01-seria-1Серия 111.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2323161https://api.tvmaze.com/shows/61880None
6243362761880https://www.tvmaze.com/episodes/2433627/zamerzsie-1x02-seria-2Серия 212.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433627https://api.tvmaze.com/shows/61880None
7243362861880https://www.tvmaze.com/episodes/2433628/zamerzsie-1x03-seria-3Серия 313.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433628https://api.tvmaze.com/shows/61880None
8243362961880https://www.tvmaze.com/episodes/2433629/zamerzsie-1x04-seria-4Серия 414.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433629https://api.tvmaze.com/shows/61880None
9243363061880https://www.tvmaze.com/episodes/2433630/zamerzsie-1x05-seria-5Серия 515.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433630https://api.tvmaze.com/shows/61880None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
160244658765697https://www.tvmaze.com/episodes/2446587/make-yourself-at-home-1x07-norwayNorway17.0regular2022-12-022022-12-02T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1086194.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1086194.jpghttps://api.tvmaze.com/episodes/2446587https://api.tvmaze.com/shows/65697<p>Maddie Moate explores three incredible and unique homes in Norway.</p>
161244658965697https://www.tvmaze.com/episodes/2446589/make-yourself-at-home-1x08-moroccoMorocco18.0regular2022-12-022022-12-02T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1086195.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1086195.jpghttps://api.tvmaze.com/episodes/2446589https://api.tvmaze.com/shows/65697<p>Maddie Moate visits three colorful and diverse homes in Morocco.</p>
162243457926350https://www.tvmaze.com/episodes/2434579/nytt-pa-nytt-47x14-morten-hegseth-og-anja-bakken-riiseMorten Hegseth og Anja Bakken Riise4714.0regular2022-12-0220:002022-12-02T19:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2434579https://api.tvmaze.com/shows/26350None
163242021859560https://www.tvmaze.com/episodes/2420218/the-villains-of-valley-view-1x20-how-the-villains-stole-christmasHow the Villains Stole Christmas120.0regular2022-12-0220:002022-12-03T01:00:00+00:0030.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1082574.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1082574.jpghttps://api.tvmaze.com/episodes/2420218https://api.tvmaze.com/shows/59560<p>Set in the past, Onyx issues an annual ruin Christmas challenge. The villain family breaks up into two teams to win it all but gets more than they bargained for.</p>
16424301302643https://www.tvmaze.com/episodes/2430130/bunkd-6x10-hauntin-around-the-christmas-treeHauntin' Around the Christmas Tree610.0regular2022-12-0220:302022-12-03T01:30:00+00:0030.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1085618.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1085618.jpghttps://api.tvmaze.com/episodes/2430130https://api.tvmaze.com/shows/2643<p>While planning an over-the-top Christmas bash, Parker encounters several ghostly visitors who teach him the true meaning of the holiday.</p>
165243762365408https://www.tvmaze.com/episodes/2437623/kids-in-crime-1x04-tommy-montanaTommy Montana14.0regular2022-12-0203:002022-12-03T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2437623https://api.tvmaze.com/shows/65408<p>Tommy moves away from home together with Pål and Monica. In the new house, they can party and get drunk as much as they want, but only as long as Freddy does not find out about Monica's new whereabouts.</p>
166244192065408https://www.tvmaze.com/episodes/2441920/kids-in-crime-1x05-payday-911Payday 9/1115.0regular2022-12-0203:002022-12-03T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2441920https://api.tvmaze.com/shows/65408None
167244192165408https://www.tvmaze.com/episodes/2441921/kids-in-crime-1x06-smurfehitsSmurfehits16.0regular2022-12-0203:002022-12-03T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2441921https://api.tvmaze.com/shows/65408None
168243500764699https://www.tvmaze.com/episodes/2435007/the-home-team-with-britt-annie-1x08-love-a-new-loungeLove a New Lounge18.0regular2022-12-0222:002022-12-03T03:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1086172.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1086172.jpghttps://api.tvmaze.com/episodes/2435007https://api.tvmaze.com/shows/64699<p>Britt and Annie transform a dark space into a bright lounging area.</p>
169254084868575https://www.tvmaze.com/episodes/2540848/mujeres-asesinas-1x05-las-bodas-de-plataLas bodas de plata15.0regular2022-12-0200:002022-12-03T06:00:00+00:0074.0NoneNoneNonehttps://api.tvmaze.com/episodes/2540848https://api.tvmaze.com/shows/68575None